Performance evaluation of a dust dispersion model for haul trucks.
Trans Soc Min Metall Explor 2004 Jan; 316:163-170
Controlling dust emissions at surface mining operations is an ongoing battle. Methods to control dust include applying water or chemicals to the dust source and collecting and filtering the dust from the source. Identifying the dust sources and modeling of the dust dispersion are also important tools in dust control that allow for the identification of potentially hazardous areas. As part of the permitting process for a mining operation, pollutant modeling can be required if the mine operation emits an amount of any pollutant above certain threshold limits. This modeling is used to determine potential impact areas. Dust is the most prevalent pollutant for surface mining operations. The most common model used by mining companies for modeling dust is the ISC3 model created by the U.S. Environmental Protection Agency. However, this model has been shown to overpredict dust dispersion from actual mining operations by a factor of two to five. A possible cause of this overprediction has been identified as the inability of the ISC3 model to accurately predict dispersion from mobile source emissions. Recently, the ISC3 model was modified to accommodate dust dispersion from mobile haul trucks at surface mines. This model is called the Dynamic Component Program (DCP). Testing of the DCP with actual field data was completed at two surface mine sites--a stone quarry in Virginia and a coal mine prep plant in Pennsylvania. Results from the DCP represent, on average, an 85% improvement over those of the ISC3 model.
Models; Dusts; Surface-mining; Mining-industry; Dust-control; Occupational-health; Pollutants; Coal-mining; Stone-mines; Nonmetal-mining; Quarries; Dispersion; Dust-sampling; Mine-workers; Haulage
NIOSH Pittsburgh Research Laboratory, P.O. Box 18070, Pittsburgh, PA 15236
Transactions of the Society for Mining, Metallurgy, and Exploration